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Displaying 1-7 out of 7 total
Appearance-based face recognition using a supervised manifold learning framework
Applications of Computer Vision, IEEE Workshop on
By Bogdan Raducanu,Fadi Dornaika
Issue Date:January 2012
Many natural image sets, depicting objects whose appearance is changing due to motion, pose or light variations, can be considered samples of a low-dimension nonlinear manifold embedded in the high-dimensional observation space (the space of all possible i...
You are fired! Nonverbal role analysis in competitive meetings
Acoustics, Speech, and Signal Processing, IEEE International Conference on
By Bogdan Raducanu, Jordi Vitria, Daniel Gatica-Perez
Issue Date:April 2009
This paper addresses the problem of social interaction analysis in competitive meetings, using nonverbal cues. For our study, we made use of “The Apprentice” reality TV show, which features a competition for a real, highly paid corporate job. Our analysis ...
Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme
Advanced Video and Signal Based Surveillance, IEEE Conference on
By Fadi Dornaika, Bogdan Raducanu
Issue Date:November 2006
In this paper, we propose a novel approach for facial expression analysis and recognition. The proposed approach relies on tracked facial actions provided by an appearance-based 3D face tracker. For each universal expression, a dynamical model for facial a...
Person-Specific Face Shape Estimation under Varying Head Pose from Single Snapshots
Pattern Recognition, International Conference on
By Fadi Dornaika, Bogdan Raducanu
Issue Date:August 2010
This paper presents a new method for person-specific face shape estimation under varying head pose of a previously unseen person from a single image. We describe a featureless approach based on a deformable 3D model and a learned face subspace. The propose...
Online Learning for Human-Robot Interaction
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Bogdan Raducanu, Jordi Vitria
Issue Date:June 2007
This paper presents a novel approach for incremental subspace learning based on an online version of the Nonparametric Discriminant Analysis (NDA). For many realworld applications (like the study of visual processes, for instance) there is impossible to kn...
Computer Vision Systems for Visually Impaired People
By Juan Terven,Joaquin Salas,Bogdan Raducanu
Issue Date:August 2013
Computer Vision, as a substitute for human vision, embodies a powerful tool for the development of assistive technologies for blind and visually impaired (VI) people. Although there are very few computer vision systems currently engaged to aid blind people...
Long-term socially perceptive and interactive robot companions: challenges and future perspectives
Found in: Proceedings of the 13th international conference on multimodal interfaces (ICMI '11)
By Ana Paiva, Bogdan Raducanu, Ginevra Castellano, Mark Hanheide, Ruth S. Aylett
Issue Date:November 2011
This paper gives a brief overview of the challenges for multi-model perception and generation applied to robot companions located in human social environments. It reviews the current position in both perception and generation and the immediate technical ch...
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